Chinese Automobile Demand Prediction Based on ARIMA Model

摘要：

Chinese automobile industry is a pillar industry of national economy. Forecasting on automobile demand of China is helpful for government to draft automobile industry policies and for automobile enterprises to plan their output. In this paper, based on autoregressive integrated moving average (ARIMA) time series model, I build a forecast model of automobile demand of China by using the monthly data of automobile sales from China Association of Automobile Manufactures (CAAM) in 2001.01-2011.06. Furthermore, I evaluate the forecasting performance of established model and find that it is very well.

关键词： automobile demand prediction ARIMA model

作者: Daoping Chen

作者单位: School of Economics and Management Chongqing Normal University Chongqing, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 2205-2209

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）